CUDA Engineer

In this role you will design, optimise, and deliver high-throughput GPU compute components within the KX platform. You will focus on CUDA development while collaborating with cross-functional teams to advance GPU acceleration across the data and analytics stack. You’ll tackle performance bottlenecks, tune kernels for efficiency, and integrate GPU workloads into production HPC environments. This is a hands-on, impact-driven position at a company that enables fast, data-driven decision making at scale.

• Competitive Salary
• Individually tailored training and skills development
• Private healthcare package and Employee Assistance Programme
• Enhanced maternity and paternity package
• Wellness Days
• Volunteer Days

• Design and implement high-throughput GPU algorithms using CUDA
• Optimise GPU kernels for memory efficiency, occupancy, and large-scale throughput
• Contribute to GPU compute modules written primarily in C, with some C++ where applicable
• Use profiling tools to identify and resolve bottlenecks
• Integrate GPU workloads into high-performance data pipelines and HPC environments
• Collaborate with cross-functional teams to enhance GPU acceleration capabilities
• Mentor junior engineers and contribute to internal GPU development standards
• Participate in architectural planning and long-term GPU development strategy

• Proven experience developing CUDA-based GPU applications
• Hands-on experience with high-throughput compute or HPC systems
• Experience optimising GPU kernels using profiling tools
• Experience integrating GPU components into production systems

• Mentoring
• Cross-functional collaboration
• Problem-solving
• CUDA GPU kernel development
• C (C++ helpful but not required)
• Understanding of GPU architecture (SMs, memory hierarchy, warp execution)